• DocumentCode
    1984305
  • Title

    Accuracy of a force sensitive digital tablet in determining the position of force application

  • Author

    Meng, Ming ; Ge, Yunjian ; Wu, Zhongcheng ; Fang, Ping ; Shen, Fei

  • Author_Institution
    Inst. of Intelligent Machine, Chinese Acad. of Sci., Hefei, China
  • fYear
    2005
  • fDate
    27 June-3 July 2005
  • Abstract
    In this paper, the accuracy in determining the position of force application with a novel force sensitive digital tablet is evaluated and improved. A loading system consisting of a strip-shaped board with a stylus and a plate with grid is used to apply a point load on the tablet. In static experiments, the stylus is placed on 49 equidistant locations respectively, and calibrated masses are used to exert vertical force from 0.25 N to 5 N. Dynamic experiments are also performed by means of drawing on the loading board. Experimental results show that the systematic error is nonlinearly dependent on the actual position of force application, and almost independent of the magnitude of exerted force vector. Dynamic experimental results also suggest that this tablet can determine the position as accurately in dynamic conditions as in static conditions. According to the observed error distribution, the measured positions are corrected using artificial neural network (ANN). The encouraging results of the correction indicate that the proposed correction procedure can provide significant improvement in the performance of the tablet in determining the position of force application.
  • Keywords
    force measurement; force sensors; interactive devices; neural nets; position measurement; artificial neural network; correction algorithm; error distribution; force application position determination; force sensitive digital tablet; Artificial neural networks; Automation; Error correction; Force measurement; Force sensors; Handwriting recognition; Kinematics; Machine intelligence; Position measurement; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9303-1
  • Type

    conf

  • DOI
    10.1109/ICIA.2005.1635098
  • Filename
    1635098